Adaptive parameterless empirical wavelet transform based time-frequency analysis method and its application to rotor rubbing fault diagnosis-Reference-Cited by-同舟云学术

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Adaptive parameterless empirical wavelet transform based time-frequency analysis method and its application to rotor rubbing fault diagnosis

Published:2017-01 Issue: Volume:130 Page:305-314
ISSN:0165-1684
Container-title:Signal Processing
language:en
Short-container-title:Signal Processing

Author:

Zheng Jinde,Pan Haiyang,Yang Shubao,Cheng Junsheng

Funder

National Natural Science Foundation of China

Key Program of Natural Science Research of Higher Education in Anhui Province of China

the Project of National Science and Technology Supporting Plan

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software,Control and Systems Engineering

Reference28 articles.

1. Application of the wavelet transform in machine condition monitoring and fault diagnostics: a review with bibliography;Peng;Mech. Syst. Signal Process.,2004

2. A comparison study of improved Hilbert–Huang transform and wavelet transform: application to fault diagnosis for rolling bearing;Peng;Mech. Syst. Signal Process.,2005

3. Wavelets for fault diagnosis of rotary machines: a review with applications;Yan;Signal Process.,2014

4. Multi-class fault diagnosis of induction motor using Hilbert and Wavelet Transform;Konar;Appl. Soft Comput.,2015

5. Wavelet transform based on inner product in fault diagnosis of rotating machinery: a review;Chen;Mech. Syst. Signal Process. 70–,2016

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